Texture-based classification of sub-Antarctic vegetation communities on Heard Island.
This study was the first to use high-resolution IKONOS imagery to classify vegetation communities on sub-Antarctic Heard Island. We focused on the use of texture measures, in addition to standard multispectral information, to improve the classification of sub-Antarctic vegetation communities. Heard...
Published in: | International Journal of Applied Earth Observation and Geoinformation |
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Online Access: | https://eprints.utas.edu.au/9907/ https://eprints.utas.edu.au/9907/1/MurrayLucieerWilliams2010press_IJAEOG_texture_Heard.pdf https://doi.org/10.1016/j.jag.2010.01.006 |
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ftunivtasmania:oai:eprints.utas.edu.au:9907 2023-05-15T13:36:47+02:00 Texture-based classification of sub-Antarctic vegetation communities on Heard Island. Murray, H Lucieer, A Williams, R 2010-06 application/pdf https://eprints.utas.edu.au/9907/ https://eprints.utas.edu.au/9907/1/MurrayLucieerWilliams2010press_IJAEOG_texture_Heard.pdf https://doi.org/10.1016/j.jag.2010.01.006 en eng https://eprints.utas.edu.au/9907/1/MurrayLucieerWilliams2010press_IJAEOG_texture_Heard.pdf Murray, H, Lucieer, A and Williams, R 2010 , 'Texture-based classification of sub-Antarctic vegetation communities on Heard Island.' , International Journal of Applied Earth Observation and Geoinformation, vol. 12, no. 3 , pp. 138-149 , doi:10.1016/j.jag.2010.01.006 <http://dx.doi.org/10.1016/j.jag.2010.01.006>. cc_utas Vegetation mapping Multispectral classification Grey level co-occurrence matrix (GLCM) Texture-based classification Sub-Antarctic Heard Island IKONOS imagery Article PeerReviewed 2010 ftunivtasmania https://doi.org/10.1016/j.jag.2010.01.006 2020-05-30T07:23:37Z This study was the first to use high-resolution IKONOS imagery to classify vegetation communities on sub-Antarctic Heard Island. We focused on the use of texture measures, in addition to standard multispectral information, to improve the classification of sub-Antarctic vegetation communities. Heard Island’s pristine and rapidly changing environment makes it a relevant and exciting location to study the regional effects of climate change. This study uses IKONOS imagery to provide automated, up-to-date, and non-invasive means to map vegetation as an important indicator for environmental change. Three classification techniques were compared:multispectral classification, texture based classification, and a combination of both. Texture features were calculated using the Grey Level Co-occurrence Matrix (GLCM). We investigated the effect of the texture window size on classification accuracy. The combined approach produced a higher accuracy than using multispectral bands alone. It was also found that the selection of GLCM texture features is critical. The highest accuracy (85%) was produced using all original spectral bands and three uncorrelated texture features. Incorporating texture improved classification accuracy by 6%. Article in Journal/Newspaper Antarc* Antarctic Heard Island University of Tasmania: UTas ePrints Antarctic Heard Island International Journal of Applied Earth Observation and Geoinformation 12 3 138 149 |
institution |
Open Polar |
collection |
University of Tasmania: UTas ePrints |
op_collection_id |
ftunivtasmania |
language |
English |
topic |
Vegetation mapping Multispectral classification Grey level co-occurrence matrix (GLCM) Texture-based classification Sub-Antarctic Heard Island IKONOS imagery |
spellingShingle |
Vegetation mapping Multispectral classification Grey level co-occurrence matrix (GLCM) Texture-based classification Sub-Antarctic Heard Island IKONOS imagery Murray, H Lucieer, A Williams, R Texture-based classification of sub-Antarctic vegetation communities on Heard Island. |
topic_facet |
Vegetation mapping Multispectral classification Grey level co-occurrence matrix (GLCM) Texture-based classification Sub-Antarctic Heard Island IKONOS imagery |
description |
This study was the first to use high-resolution IKONOS imagery to classify vegetation communities on sub-Antarctic Heard Island. We focused on the use of texture measures, in addition to standard multispectral information, to improve the classification of sub-Antarctic vegetation communities. Heard Island’s pristine and rapidly changing environment makes it a relevant and exciting location to study the regional effects of climate change. This study uses IKONOS imagery to provide automated, up-to-date, and non-invasive means to map vegetation as an important indicator for environmental change. Three classification techniques were compared:multispectral classification, texture based classification, and a combination of both. Texture features were calculated using the Grey Level Co-occurrence Matrix (GLCM). We investigated the effect of the texture window size on classification accuracy. The combined approach produced a higher accuracy than using multispectral bands alone. It was also found that the selection of GLCM texture features is critical. The highest accuracy (85%) was produced using all original spectral bands and three uncorrelated texture features. Incorporating texture improved classification accuracy by 6%. |
format |
Article in Journal/Newspaper |
author |
Murray, H Lucieer, A Williams, R |
author_facet |
Murray, H Lucieer, A Williams, R |
author_sort |
Murray, H |
title |
Texture-based classification of sub-Antarctic vegetation communities on Heard Island. |
title_short |
Texture-based classification of sub-Antarctic vegetation communities on Heard Island. |
title_full |
Texture-based classification of sub-Antarctic vegetation communities on Heard Island. |
title_fullStr |
Texture-based classification of sub-Antarctic vegetation communities on Heard Island. |
title_full_unstemmed |
Texture-based classification of sub-Antarctic vegetation communities on Heard Island. |
title_sort |
texture-based classification of sub-antarctic vegetation communities on heard island. |
publishDate |
2010 |
url |
https://eprints.utas.edu.au/9907/ https://eprints.utas.edu.au/9907/1/MurrayLucieerWilliams2010press_IJAEOG_texture_Heard.pdf https://doi.org/10.1016/j.jag.2010.01.006 |
geographic |
Antarctic Heard Island |
geographic_facet |
Antarctic Heard Island |
genre |
Antarc* Antarctic Heard Island |
genre_facet |
Antarc* Antarctic Heard Island |
op_relation |
https://eprints.utas.edu.au/9907/1/MurrayLucieerWilliams2010press_IJAEOG_texture_Heard.pdf Murray, H, Lucieer, A and Williams, R 2010 , 'Texture-based classification of sub-Antarctic vegetation communities on Heard Island.' , International Journal of Applied Earth Observation and Geoinformation, vol. 12, no. 3 , pp. 138-149 , doi:10.1016/j.jag.2010.01.006 <http://dx.doi.org/10.1016/j.jag.2010.01.006>. |
op_rights |
cc_utas |
op_doi |
https://doi.org/10.1016/j.jag.2010.01.006 |
container_title |
International Journal of Applied Earth Observation and Geoinformation |
container_volume |
12 |
container_issue |
3 |
container_start_page |
138 |
op_container_end_page |
149 |
_version_ |
1766083919791259648 |